Decision support methods for the environmental assessment of contamination at mining sites

Environ Monit Assess. 2013 Sep;185(9):7809-32. doi: 10.1007/s10661-013-3137-z. Epub 2013 Mar 2.

Abstract

Polluting mine accidents and widespread environmental contamination associated with historic mining in Europe and elsewhere has triggered the improvement of related environmental legislation and of the environmental assessment and management methods for the mining industry. Mining has some unique features such as natural background pollution associated with natural mineral deposits, industrial activities and contamination located in the three-dimensional sub-surface space, the problem of long-term remediation after mine closure, problem of secondary contaminated areas around mine sites and abandoned mines in historic regions like Europe. These mining-specific problems require special tools to address the complexity of the environmental problems of mining-related contamination. The objective of this paper is to review and evaluate some of the decision support methods that have been developed and applied to mining contamination. In this paper, only those methods that are both efficient decision support tools and provide a 'holistic' approach to the complex problem as well are considered. These tools are (1) landscape ecology, (2) industrial ecology, (3) landscape geochemistry, (4) geo-environmental models, (5) environmental impact assessment, (6) environmental risk assessment, (7) material flow analysis and (8) life cycle assessment. This unique inter-disciplinary study should enable both the researcher and the practitioner to obtain broad view on the state-of-the-art of decision support methods for the environmental assessment of contamination at mine sites. Documented examples and abundant references are also provided.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Chemical Hazard Release / statistics & numerical data*
  • Decision Support Techniques*
  • Environment
  • Environmental Monitoring / methods*
  • Industrial Waste / statistics & numerical data
  • Mining*

Substances

  • Industrial Waste